Summary
Are you passionate about data and eager to launch your career in a dynamic and innovative company? Serviced Living Liverpool, a leading provider of premium short-term rental properties, is looking for an analytical and detail-oriented individual to join our team as a Data Apprentice.
Wage
£14,000 a year
£14,000 to £16,000 per annum
Training course
Data technician (level 3)
Hours
Monday to Friday 9am till 5pm.
37 hours a week
Possible start date
Saturday 15 February
Duration
1 year 3 months
Positions available
1
Work
As an apprentice, you’ll work at a company and get hands-on experience. You’ll gain new skills and work alongside experienced staff.
What you’ll do at work
* Create and update spreadsheets for housekeeping based on bookings data from Tokeet and allocate resources accordingly
* Create, update and present weekly spreadsheets to the finance lead with housekeeping costs per property
* Collect data from Online Travel Agents (OTAs) and Tokeet and analyse patterns in booking behaviors, use this data to implement promotions on OTAs
* Analyse bookings data from Tokeet and present findings to management
* Create weekly and monthly trackers based on this data and liaise with the marketing team to increase revenue
Where you’ll work
The Liverpool Film Studios
Boundary Street
Liverpool
L5 9YJ
Training
An apprenticeship includes regular training with a college or other training organisation. At least 20% of your working hours will be spent training or studying.
College or training organisation
BALTIC TRAINING SERVICES LIMITED
Your training course
Data technician (level 3)
Equal to A level
Course contents
* Source and migrate data from already identified different sources.
* Collect, format and save datasets.
* Summarise and explain gathered data.
* Blend data sets from multiple sources and present in format appropriate to the task.
* Manipulate and link different data sets as required.
* Use tools and techniques to identify trends and patterns in data.
* Apply basic statistical methods and algorithms to identify trends and patterns in data.
* Apply cross checking techniques for identifying faults and data results for data project requirements.
* Audit data results.
* Demonstrate the different ways of communicating meaning from data in line with audience requirements.
* Produce clear and consistent technical documentation using standard organisational templates.
* Store, manage and distribute in compliance with data security standards and legislation.
* Explain data and results to different audiences in a way that aids understanding.
* Review own development needs.
* Keep up to date with developments in technologies, trends and innovation using a range of sources.
* Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
* Operate as part of a multi-functional team.
* Prioritise within the context of a project.
* Source and migrate data from already identified different sources.
* Collect, format and save datasets.
* Summarise and explain gathered data.
* Blend data sets from multiple sources and present in format appropriate to the task.
* Manipulate and link different data sets as required.
* Use tools and techniques to identify trends and patterns in data.
* Apply basic statistical methods and algorithms to identify trends and patterns in data.
* Apply cross checking techniques for identifying faults and data results for data project requirements.
* Audit data results.
* Demonstrate the different ways of communicating meaning from data in line with audience requirements.
* Produce clear and consistent technical documentation using standard organisational templates.
* Store, manage and distribute in compliance with data security standards and legislation.
* Explain data and results to different audiences in a way that aids understanding.
* Review own development needs.
* Keep up to date with developments in technologies, trends and innovation using a range of sources.
* Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
* Operate as part of a multi-functional team.
* Prioritise within the context of a project.
Your training plan
Working towards Level 3 Data technician apprenticeship standard including any necessary Functional Skills or additional qualifications. Full training and support will be provided by your workplace mentor and from the Baltic team.
Requirements
Essential qualifications
GCSE in:
* English (grade 4)
* Math (grade 4)
Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.
Skills
* Communication skills
* Attention to detail
* Organisation skills
* Customer care skills
* Problem solving skills
* Presentation skills
* Administrative skills
* Number skills
* Analytical skills
* Team working